LLMs

A deep dive into the performance, coding capabilities, and unit economics of the newly released GPT-5.6 Sol and Claude Opus 5 models.

Not all tokens require equal thought. Mixture-of-Depths (MoD) architecture revolutionizes transformer efficiency by dynamically skipping layers for simple tokens, slashing inference compute costs.

The era of "bigger is better" is fragmenting. Through rigorous Chain-of-Thought (CoT) distillation, small edge-capable models are achieving unprecedented accuracy in software engineering tasks.

Meta shipped Muse Code and updated Muse Spark - terminal-native coding agents. See the engineering differentiators (agent-env interfaces, tool-verified actions) against Codex-class competitors.

Liquid AI's LFM2.5-2.6B is a 2.69B-param model tuned for agentic tool-calling with 128K context that runs under 2.5 GB. At 220 tok/s on M5 Max and 30 tok/s on a phone, on-device autonomous agents are economically feasible.

Architecting extreme low-power AI systems by migrating from traditional deep learning to biologically inspired Spiking Neural Networks (SNNs) on specialized neuromorphic chips.

Hardware-aware routing optimizes Sparse Mixture of Experts by intelligently directing tokens to specialized sub-networks, drastically improving GPU utilization and slashing costs.

The integration of Homomorphic Encryption with federated learning allows organizations to securely fine-tune models on highly sensitive data without exposing gradients.

An architectural breakdown of Mamba-3 and advanced State Space Models replacing Transformer attention for linear-time infinite context window processing.

OpenAI's Agents SDK moves from demos to production: multi-agent handoffs, guardrail trippers, and sandboxed tool execution. A practical guide with code for building reliable agent fleets.

While the EU AI Act goes live, US regulation arrives through states: California's SB 53 frontier AI law, training-data transparency, and the FTC's AI-washing enforcement. A practical compliance map for AI developers.

Gemini 3.1 Pro ingests documents and video that break other models: 900-page PDFs and hour-long videos in one pass. A practical guide to multimodal RAG, cost modeling, and when single-pass wins.